How to Process Genesys Cloud Webhook Payloads in AWS Lambda (Node.js)
What You Will Build
- A serverless AWS Lambda function that receives, validates, and processes real-time conversation events from Genesys Cloud.
- Implementation of HMAC signature verification to ensure payload integrity and prevent spoofing.
- A Node.js 18+ solution using the
@gencloud/webhook-handlerpattern and native AWS SDK v3 for downstream actions.
Prerequisites
- AWS Account: With permissions to create Lambda functions and IAM roles.
- Genesys Cloud Organization: Access to an org where you have Platform Administrator or Developer permissions to configure webhooks.
- Node.js Runtime: Version 18 or later (recommended for Lambda).
- AWS SDK:
@aws-sdk/client-s3or@aws-sdk/client-dynamodb(depending on your storage backend). - Environment Variables:
GENESYS_WEBHOOK_SECRET: The secret key generated in the Genesys Cloud webhook configuration.AWS_REGION: Your target AWS region.
Authentication Setup
Genesys Cloud webhooks do not use OAuth 2.0 for delivery. Instead, they use a shared secret signing mechanism. When you configure a webhook in Genesys Cloud, you define a secret. Genesys Cloud uses this secret to generate an HMAC-SHA256 signature for every request. Your Lambda function must verify this signature before processing the payload.
If the signature is invalid, the request is rejected with a 401 Unauthorized status. If the payload fails processing logic, return a 500 Internal Server Error to trigger Genesys Cloud’s retry mechanism.
Required Scope for Webhook Configuration:
To create the webhook in Genesys Cloud, your OAuth client requires the webhook:read or webhook:write scope. However, the Lambda function itself does not need OAuth tokens to receive the webhook. It only needs the shared secret.
Implementation
Step 1: Configure the Lambda Handler and Verify Signature
The first step is to parse the incoming HTTP event from API Gateway. You must extract the headers and body. The critical security step is verifying the X-Genesys-Signature header.
Create a file named index.js.
const crypto = require('crypto');
/**
* Verifies the HMAC signature from the Genesys Cloud webhook.
*
* @param {string} payload - The raw request body string.
* @param {string} signature - The signature from the X-Genesys-Signature header.
* @param {string} secret - The shared secret from environment variables.
* @returns {boolean} - True if the signature is valid.
*/
function verifySignature(payload, signature, secret) {
if (!signature || !secret) {
console.error('Missing signature or secret configuration');
return false;
}
// Genesys Cloud expects the signature to be hex-encoded HMAC-SHA256
const hmac = crypto.createHmac('sha256', secret);
hmac.update(payload);
const calculatedSignature = hmac.digest('hex');
// Use timing-safe comparison to prevent timing attacks
return crypto.timingSafeEqual(
Buffer.from(signature, 'hex'),
Buffer.from(calculatedSignature, 'hex')
);
}
/**
* Main Lambda Handler
*/
exports.handler = async (event, context) => {
// 1. Extract headers and body
const headers = event.headers || {};
const body = event.body;
// 2. Check for the signature header
const signature = headers['x-genesys-signature'] || headers['X-Genesys-Signature'];
if (!signature) {
return {
statusCode: 401,
body: JSON.stringify({ error: 'Missing signature header' })
};
}
// 3. Get the secret from environment variables
const secret = process.env.GENESYS_WEBHOOK_SECRET;
if (!secret) {
console.error('GENESYS_WEBHOOK_SECRET environment variable is not set');
return {
statusCode: 500,
body: JSON.stringify({ error: 'Internal server error: Secret not configured' })
};
}
// 4. Verify the signature
// Note: event.body is a string in API Gateway v2 (HTTP API) and v1 (REST API)
if (!verifySignature(body, signature, secret)) {
console.warn('Invalid signature detected. Potential spoofing attempt.');
return {
statusCode: 401,
body: JSON.stringify({ error: 'Invalid signature' })
};
}
// 5. Parse the payload
let payloadData;
try {
payloadData = JSON.parse(body);
} catch (e) {
console.error('Failed to parse JSON body:', e);
return {
statusCode: 400,
body: JSON.stringify({ error: 'Invalid JSON payload' })
};
}
// 6. Process the valid payload
try {
const result = await processWebhookEvent(payloadData);
return {
statusCode: 200,
body: JSON.stringify({ status: 'success', processedId: result.id })
};
} catch (error) {
console.error('Error processing webhook event:', error);
// Return 500 to trigger Genesys Cloud retry
return {
statusCode: 500,
body: JSON.stringify({ error: 'Processing failed' })
};
}
};
Step 2: Define Business Logic for Conversation Events
Now implement the processWebhookEvent function. This function handles the specific event types. Genesys Cloud webhooks send various event types, such as conversation:created, conversation:updated, and conversation:ended.
You must handle the event_type field to route logic appropriately. In this example, we will process conversation:updated events to log call details to AWS DynamoDB.
const { DynamoDBClient } = require("@aws-sdk/client-dynamodb");
const { PutCommand } = require("@aws-sdk/client-dynamodb");
const dynamoDb = new DynamoDBClient({ region: process.env.AWS_REGION || 'us-east-1' });
/**
* Processes the webhook event based on its type.
*
* @param {Object} payload - The parsed JSON payload from Genesys Cloud.
* @returns {Object} - Result of the processing.
*/
async function processWebhookEvent(payload) {
const eventType = payload.event_type;
const conversationId = payload.conversation_id;
const timestamp = new Date(payload.timestamp).toISOString();
console.log(`Processing event: ${eventType} for conversation: ${conversationId}`);
switch (eventType) {
case 'conversation:created':
return await handleConversationCreated(payload);
case 'conversation:updated':
return await handleConversationUpdated(payload);
case 'conversation:ended':
return await handleConversationEnded(payload);
default:
console.log(`Unhandled event type: ${eventType}`);
return { id: conversationId, status: 'skipped' };
}
}
/**
* Handles conversation creation.
*/
async function handleConversationCreated(payload) {
// Example: Initialize a record in DynamoDB
const params = {
TableName: 'GenesysConversations',
Item: {
conversationId: { S: payload.conversation_id },
type: { S: payload.type },
createdTimestamp: { S: payload.timestamp },
status: { S: 'active' },
metadata: { S: JSON.stringify(payload) }
}
};
await dynamoDb.send(new PutCommand(params));
return { id: payload.conversation_id, status: 'created' };
}
/**
* Handles conversation updates (e.g., state changes, transfers).
*/
async function handleConversationUpdated(payload) {
// Only process if there is a state change or significant update
if (payload.type === 'voice' || payload.type === 'chat') {
const params = {
TableName: 'GenesysConversations',
Key: {
conversationId: { S: payload.conversation_id }
},
UpdateExpression: 'SET #status = :status, updatedTimestamp = :ts',
ExpressionAttributeNames: {
'#status': 'status'
},
ExpressionAttributeValues: {
':status': { S: payload.state || 'unknown' },
':ts': { S: payload.timestamp }
}
};
// Note: For production, use UpdateCommand from @aws-sdk/client-dynamodb
// This is a simplified example structure.
// In real code: await dynamoDb.send(new UpdateCommand(params));
console.log(`Updated conversation ${payload.conversation_id} state to ${payload.state}`);
return { id: payload.conversation_id, status: 'updated' };
}
return { id: payload.conversation_id, status: 'skipped' };
}
/**
* Handles conversation ended events.
*/
async function handleConversationEnded(payload) {
const params = {
TableName: 'GenesysConversations',
Key: {
conversationId: { S: payload.conversation_id }
},
UpdateExpression: 'SET #status = :status, endedTimestamp = :ts',
ExpressionAttributeNames: {
'#status': 'status'
},
ExpressionAttributeValues: {
':status': { S: 'ended' },
':ts': { S: payload.timestamp }
}
};
// await dynamoDb.send(new UpdateCommand(params));
return { id: payload.conversation_id, status: 'ended' };
}
Step 3: Handle Pagination and Batching (If Applicable)
Genesys Cloud webhooks deliver events individually by default. However, if you are using the “Batch” mode or processing historical data via the Analytics API, you must handle pagination. For real-time webhooks, each HTTP request contains a single event. The code above handles single events.
If you are building a polling service instead of a webhook receiver, you would use the /api/v2/analytics/conversations/details/query endpoint. This requires OAuth 2.0 client credentials flow.
OAuth Client Credentials Flow for Analytics API (Node.js):
const axios = require('axios');
async function getAnalyticsData() {
const clientId = process.env.GENESYS_CLIENT_ID;
const clientSecret = process.env.GENESYS_CLIENT_SECRET;
const baseUrl = 'https://api.mypurecloud.com';
// 1. Get Access Token
const tokenResponse = await axios.post(`${baseUrl}/oauth/token`,
`grant_type=client_credentials&scope=analytics:conversation:read`,
{
headers: {
'Content-Type': 'application/x-www-form-urlencoded',
'Authorization': 'Basic ' + Buffer.from(`${clientId}:${clientSecret}`).toString('base64')
}
}
);
const accessToken = tokenResponse.data.access_token;
// 2. Query Analytics Data
const queryBody = {
"interval": "2023-01-01T00:00:00Z/2023-01-02T00:00:00Z",
"groupBy": ["conversation.id"],
"aggregations": [
{ "name": "duration", "type": "sum" }
]
};
const analyticsResponse = await axios.post(
`${baseUrl}/api/v2/analytics/conversations/details/query`,
queryBody,
{
headers: {
'Authorization': `Bearer ${accessToken}`,
'Content-Type': 'application/json'
}
}
);
return analyticsResponse.data;
}
Complete Working Example
Below is the complete index.js file combining signature verification, event routing, and DynamoDB integration. This assumes you have a DynamoDB table named GenesysConversations with a partition key conversationId.
const crypto = require('crypto');
const { DynamoDBClient, PutCommand, UpdateCommand } = require("@aws-sdk/client-dynamodb");
// Initialize DynamoDB Client
const dynamoDb = new DynamoDBClient({ region: process.env.AWS_REGION || 'us-east-1' });
/**
* Verifies the HMAC signature from the Genesys Cloud webhook.
*/
function verifySignature(payload, signature, secret) {
if (!signature || !secret) return false;
const hmac = crypto.createHmac('sha256', secret);
hmac.update(payload);
const calculatedSignature = hmac.digest('hex');
return crypto.timingSafeEqual(
Buffer.from(signature, 'hex'),
Buffer.from(calculatedSignature, 'hex')
);
}
/**
* Main Lambda Handler
*/
exports.handler = async (event, context) => {
const headers = event.headers || {};
const body = event.body;
const signature = headers['x-genesys-signature'] || headers['X-Genesys-Signature'];
const secret = process.env.GENESYS_WEBHOOK_SECRET;
// Security Check: Validate Signature
if (!signature || !secret || !verifySignature(body, signature, secret)) {
return {
statusCode: 401,
body: JSON.stringify({ error: 'Unauthorized: Invalid signature' })
};
}
let payloadData;
try {
payloadData = JSON.parse(body);
} catch (e) {
return {
statusCode: 400,
body: JSON.stringify({ error: 'Bad Request: Invalid JSON' })
};
}
try {
const result = await processEvent(payloadData);
return {
statusCode: 200,
body: JSON.stringify({ success: true, eventId: result.id })
};
} catch (error) {
console.error('Processing error:', error);
return {
statusCode: 500,
body: JSON.stringify({ error: 'Internal Server Error' })
};
}
};
/**
* Routes events based on type
*/
async function processEvent(payload) {
const eventType = payload.event_type;
const conversationId = payload.conversation_id;
switch (eventType) {
case 'conversation:created':
await saveConversation(payload, 'active');
break;
case 'conversation:updated':
await updateConversationState(payload);
break;
case 'conversation:ended':
await saveConversation(payload, 'ended');
break;
default:
console.log(`Skipping unsupported event type: ${eventType}`);
}
return { id: conversationId };
}
/**
* Saves or updates conversation record in DynamoDB
*/
async function saveConversation(payload, status) {
const params = {
TableName: 'GenesysConversations',
Item: {
conversationId: { S: payload.conversation_id },
type: { S: payload.type },
status: { S: status },
timestamp: { S: payload.timestamp },
externalContactId: { S: payload.external_contact?.id || 'unknown' },
rawPayload: { S: JSON.stringify(payload) } // Store raw for debugging
}
};
try {
await dynamoDb.send(new PutCommand(params));
console.log(`Saved conversation ${payload.conversation_id}`);
} catch (err) {
console.error(`Failed to save conversation ${payload.conversation_id}:`, err);
throw err;
}
}
/**
* Updates conversation state in DynamoDB
*/
async function updateConversationState(payload) {
const params = {
TableName: 'GenesysConversations',
Key: {
conversationId: { S: payload.conversation_id }
},
UpdateExpression: 'SET #status = :status, #timestamp = :ts',
ExpressionAttributeNames: {
'#status': 'status',
'#timestamp': 'timestamp'
},
ExpressionAttributeValues: {
':status': { S: payload.state },
':ts': { S: payload.timestamp }
},
ReturnValues: 'NONE'
};
try {
await dynamoDb.send(new UpdateCommand(params));
console.log(`Updated conversation ${payload.conversation_id} to state ${payload.state}`);
} catch (err) {
console.error(`Failed to update conversation ${payload.conversation_id}:`, err);
// Do not throw here if you want to acknowledge receipt even on partial failure
// throw err;
}
}
Common Errors & Debugging
Error: 401 Unauthorized - Invalid Signature
Cause: The HMAC signature calculated by your Lambda does not match the one sent by Genesys Cloud.
How to Fix:
- Verify that the
GENESYS_WEBHOOK_SECRETin your Lambda environment variables matches the secret configured in Genesys Cloud. - Ensure you are using the raw body string for HMAC calculation. If you parse the body to JSON first, then stringify it, the whitespace or key ordering might change, invalidating the signature. Always use
event.bodydirectly. - Check for case sensitivity in headers. Genesys Cloud sends
x-genesys-signature. Some proxies might capitalize it. Handle both cases as shown in the code.
Error: 502 Bad Gateway
Cause: Your Lambda function timed out or returned an invalid response format.
How to Fix:
- Increase the Lambda timeout setting in AWS Console (default is 3 seconds, which might be too short if you are making downstream API calls).
- Ensure your response object strictly follows the API Gateway response format:
{ statusCode: number, body: string }.
Error: 429 Too Many Requests
Cause: You are hitting rate limits on the downstream service (e.g., DynamoDB or external API).
How to Fix:
- Implement exponential backoff retries in your downstream calls.
- For DynamoDB, use provisioned capacity with auto-scaling or switch to On-Demand mode.
- If using the Genesys Cloud Analytics API, respect the rate limit headers (
X-RateLimit-Remaining) and implement retry logic with jitter.